Retail Sales
A key indicator of U.S. consumer spending, which accounts for roughly 70% of GDP
What is Retail Sales?
One-line definition: Retail Sales is a key economic indicator that measures "how much money U.S. consumers spent at retail stores during the month."
Simply put, it is the total dollar amount sold last month across convenience stores, department stores, car dealerships, and online shops throughout the United States. Since consumer spending accounts for about 70% of U.S. GDP, Retail Sales is the most direct indicator of how consumers' wallets are doing, and it serves as a key checklist for diagnosing the health of the economy.
Retail Sales is released every month by the U.S. Census Bureau, and right after the release it immediately impacts the stock market, bond market, and dollar exchange rate. Wall Street values this indicator so much that it calls Retail Sales the "thermometer of the consumer economy."
Strong Retail Sales means consumers are spending well, which signals a virtuous cycle of corporate revenue → hiring → wage growth → more spending. Conversely, weak Retail Sales is a warning sign that consumers are closing their wallets, and it can be a leading indicator of an economic slowdown or recession.
English terms
Retail Sales, Advance Retail Sales, Core Retail Sales, Control Group
Korean terms
Retail Sales, Retail Revenue, Core Retail Sales, Control Group
What does it measure?
Retail Sales is compiled by the U.S. Census Bureau based on a survey of roughly 5,500 retail companies nationwide. It samples a wide range of retailers, from large chains to small shops, and surveys their total monthly sales revenue (total receipts).
The surveyed items are divided into 13 retail categories. They include car dealers, furniture stores, electronics, groceries, health & personal care, gas stations, clothing, sports & hobbies, general merchandise stores, and non-store retailers (online shopping).
Main Retail Sales categories and their shares:
Motor Vehicles & Parts
About 19~20% — the largest share in Retail Sales. Because these are high-ticket items, they are very volatile and can move the total by billions of dollars in a single month.
Nonstore Retailers (Online)
About 16~17% — online shopping such as Amazon and e-commerce. Its share is growing every year, and it is the fastest-growing category.
Food & Beverage Stores
About 12% — supermarkets and grocery stores, essential consumption items. Relatively stable through economic ups and downs.
Gas Stations
About 8% — directly tied to oil prices. When oil prices surge, Retail Sales can be inflated even though actual consumer spending did not really rise.
Food Services & Drinking Places
About 13% — restaurants, bars, etc. The only "services" category, and it shows how healthy discretionary consumer spending is.
Building Materials
About 6% — big home-improvement stores like Home Depot and Lowe's. Closely tied to the housing market.
Good to know: Retail Sales is reported as a nominal value. In other words, the numbers are not adjusted for inflation. If prices rose 5% and Retail Sales also grew 5%, then real consumption volume did not change at all. To see real retail sales, you have to adjust it with the CPI. Also, Retail Sales mostly covers "goods" and barely includes services (healthcare, travel, etc.). To see service spending too, you need to check PCE (Personal Consumption Expenditures) together.
Key distinction: this is all you need to know
When you look at a Retail Sales release, several numbers appear and it can be confusing. But you only need to understand three distinctions.
1. Headline Retail Sales vs. Core Retail Sales vs. Control Group
Headline Retail Sales
Total Retail Sales including autos. The number that makes news headlines. It swings a lot because of changes in auto sales.
Core Retail Sales (Ex-Autos)
Retail Sales excluding autos. Since autos are the most volatile component, removing them lets you see the underlying consumer trend.
Control Group
Excludes autos, gas stations, building materials, and food services all together. It is used directly to calculate the consumption portion of GDP. The number the market pays closest to most attention.
Why is the Control Group the most important? Auto sales can swing sharply based on monthly promotions or new model launches, gas station revenues move with oil prices, and building materials are swayed by seasonal factors. With all that noise stripped out, the Control Group truly shows consumers' "real spending intent." The U.S. Bureau of Economic Analysis (BEA) uses this Control Group data directly when calculating the consumption component of GDP.
2. Month-over-Month (MoM) vs. Year-over-Year (YoY)
Month-over-Month (MoM)
The change versus the previous month. The number the market reacts to most sensitively. Usually moves within a range of -0.5% to +1.0%. Useful for catching short-term shifts in consumption.
Year-over-Year (YoY)
The change versus one year ago. Seasonal effects are naturally smoothed out, so it is good for spotting long-term consumption trends. Because it is a nominal figure, you need to take inflation into account.
Four key numbers in a Retail Sales release:
Headline Retail Sales MoM
Total Retail Sales change vs. prior month (news headline)
Ex-Autos Retail Sales MoM
Retail Sales change excluding autos
Control Group MoM
The GDP-linked number the market watches most closely
Ex-Autos & Gas MoM
Excluding autos + gas stations; checks underlying consumption flow
Why does it matter? — Impact on the market
The most fundamental reason Retail Sales moves the market is that consumption is the engine of the U.S. economy. Roughly 70% of U.S. GDP is made up of consumer spending, and Retail Sales is the fastest indicator that measures that spending.
Just as with CPI, the "surprise versus expectations" is the core of market reaction. A market consensus is formed before the release, and the market moves sharply when the actual print differs from that consensus.
When Retail Sales is stronger than expected (Strong Beat)
It signals that consumers are spending actively. The market reaction depends on the situation:
- During slowdown concerns: Consumption is healthy → relief → stocks rise, "soft landing" hopes
- During inflation concerns: Consumer overheating → fears the Fed will keep tightening → rates rise, growth stocks fall
- Consumer-related stocks: Retail (XRT), Consumer Discretionary (XLY) sector ETFs rise
When Retail Sales is weaker than expected (Weak Miss)
A warning sign that consumers are starting to close their wallets:
- Recession fears grow: Consumption slows → GDP forecasts fall → defensive stocks (XLP, utilities) favored
- Rate-cut hopes: Expectations that the Fed will cut rates to support the economy → bonds rally
- Consumer-sensitive stocks fall: Department stores (M), restaurants (MCD), consumer discretionary broadly weak
Real-world examples of Retail Sales surprises:
January 16, 2025 — Surprise Retail Sales plunge: December Retail Sales came in far below expectations at -0.9% MoM (vs. -0.1% expected), raising concerns about a Q4 consumption slowdown. However, the Control Group held up relatively well at -0.3%, while autos (-1.6%) and online (-1.9%) saw big drops. The market initially fell and then rebounded on "rate-cut hopes," showing a classic example of how the same data can be interpreted in opposite ways.
July 16, 2024 — Solid consumption confirmed: June Retail Sales came in at 0.0% MoM (vs. -0.3% expected), better than expected, and the Control Group surprised to the upside at +0.9%. This data confirmed that "U.S. consumers are still healthy," strengthening soft-landing hopes and pushing the S&P 500 to a new all-time high.
Impact by sector:
Consumer Discretionary (XLY — AMZN, TSLA, HD)
Reacts most directly to Retail Sales. Strong Retail Sales → spending power confirmed → discretionary stocks rise. Hit hard when Retail Sales is weak.
Consumer Staples (XLP — PG, KO, WMT)
Defensive stocks that hold up relatively well when Retail Sales is weak. Because daily necessities are bought regardless of the economy, they are strongly defensive in nature.
Automakers (GM, F, TSLA)
Directly affected by auto sales data. When the gap between the headline and Ex-Autos is large, the auto sector is often the cause.
E-commerce & Fintech (AMZN, SHOP, SQ)
The nonstore retailers category shows the health of e-commerce. The continued rise in the online sales share is a structural growth driver.
Release schedule and how to check it
Publisher
U.S. Census Bureau (under the Department of Commerce)
Release frequency
Once a month (usually mid-month, around the 14th~17th)
Release time (U.S.)
8:30 AM ET (Eastern Time)
Korea time
Daylight Saving Time (Mar~Nov): 9:30 PM / Winter (Nov~Mar): 10:30 PM
Retail Sales for the previous month is released in the middle of the following month. For example, March Retail Sales is released in mid-April (usually around the 16th). The flash number comes out first under the name "Advance Retail Sales," and a revised number is released later.
Retail Sales data can be viewed directly on the Census Bureau website (census.gov), and the release schedule and consensus forecasts can also be checked in advance on investment information sites (Investing.com, TradingEconomics, etc.).
Key point: Retail Sales tends to have large revisions after the fact. The flash (Advance) number is released quickly but is less accurate. A revised number comes out a month later, and it is common for the prior month's figure to be revised significantly. So be sure to check not only the current month's number but also the revision for the previous month. If the previous month is revised upward, even if the current month looks weak, consumption may actually be healthy.
Practical strategies for investors
Retail Sales can be used not just to "check economic news" but also systematically in real investing. Here are four strategies.
Strategy 1: Rotate between Discretionary and Staples
You can rotate within the consumer sectors based on the Retail Sales trend:
- Retail Sales beats for 2~3 months in a row: Consumer cycle expanding → increase weight in Consumer Discretionary (XLY); watch Amazon (AMZN), Home Depot (HD), Nike (NKE)
- Retail Sales misses for 2~3 months in a row: Consumption slowing → move into Consumer Staples (XLP); defensive positions in Procter & Gamble (PG), Coca-Cola (KO), Walmart (WMT)
- Do not judge from just one month's data; always check the trend
Strategy 2: Gauge the auto sector from the auto sales trend
Tracking the auto category within Retail Sales separately lets you gauge the direction of GM, Ford, Tesla, and others:
- Auto sales surge: Dealer promotions, a burst of new-car demand, or a sign that pent-up demand is being released. Positive for auto stocks and auto parts plays (AutoZone, O'Reilly)
- Auto sales plunge: Higher auto loan burdens from rate hikes, or a sign of deteriorating consumer confidence. Because this can distort the headline number, be sure to compare with Ex-Autos
- If the gap between the headline and Ex-Autos is 0.5 percentage points or more, autos are distorting the overall picture
Strategy 3: Track the online vs. offline sales trend
The "Nonstore Retailers" category within Retail Sales shows the online shopping trend:
- Online sales accelerating: Positive for e-commerce names like Amazon (AMZN), Shopify (SHOP), Etsy (ETSY). The online share of total retail continues to rise (around 16~17%)
- Offline outperforming: A sign of a rebound for department stores (Macy's), home improvement (Home Depot), and other brick-and-mortar names. But the long-term shift to online continues
- When online sales grow faster than total Retail Sales in a given month, it signals strengthening e-commerce momentum
Strategy 4: Read Q4 GDP early via holiday-season Retail Sales
November~December Retail Sales is the most important data of the year:
- Black Friday + Cyber Monday effect: Reflected in November Retail Sales. Strong November Retail Sales is evidence that consumer sentiment is healthy
- Christmas season: December Retail Sales drives the consumption portion of Q4 GDP. It lets you preview the Q4 earnings of retailers (released late January~February)
- When holiday Retail Sales falls short of expectations, retail stocks often plunge in early January. Conversely, strong holiday Retail Sales lifts Q4 earnings expectations and leads to a retail-stock rally
Relationship with related indicators
Looking at Retail Sales alone can cause you to miss the full picture of consumption. Cross-checking it with related indicators leads to far more accurate judgments.
Retail Sales vs. GDP (Gross Domestic Product)
The Control Group data from Retail Sales is fed directly into the calculation of the Personal Consumption Expenditures (PCE) component of GDP. If Retail Sales stays solid for three months in a row, you can expect that quarter's contribution from consumption to GDP to be high.
- However, Retail Sales focuses on "goods," while GDP consumption also includes services (healthcare, travel, finance, etc.). For the full picture including services, check the PCE report
Retail Sales vs. Consumer Confidence / Michigan Sentiment
If Consumer Confidence shows consumers' "psychology and intent," Retail Sales shows "actual behavior."
- If Consumer Confidence falls but Retail Sales stays firm → actual spending has not yet been affected (when words and actions diverge)
- If both Consumer Confidence and Retail Sales fall → both sentiment and action are weakening; a genuine slowdown signal. This is the most dangerous time
Retail Sales vs. CPI (Consumer Price Index)
Because Retail Sales is a nominal amount, it is influenced by inflation. If CPI is high and Retail Sales is also high, consumers may not be buying more — they may simply be paying more for the same amount. Subtracting CPI from the Retail Sales growth rate gives you the "real Retail Sales growth rate"; if that figure is negative, it means consumption is actually falling in volume terms. Build the habit of looking at the real Retail Sales trend as well.
Retail Sales vs. Employment indicators (NFP, Unemployment Rate)
Employment is the driving force of consumption. People need jobs in order to have money to spend. When employment deteriorates first, Retail Sales often weakens 1~2 months later with a lag. Conversely, when wage growth accelerates, Retail Sales tends to be strong. Because NFP comes out first (the first Friday of each month) and Retail Sales follows two weeks later, you can use the employment data to preview the direction of Retail Sales.
Related indicators worth looking at together:
GDP (Gross Domestic Product)
The Control Group flows directly into the consumption component of GDP
Consumer Confidence Index
A leading indicator of consumer sentiment; cross-check with actual behavior
CPI (Consumer Price Index)
Needed to convert nominal Retail Sales into real terms
Employment indicators (NFP)
Employment is the engine of consumption; released 2 weeks earlier
University of Michigan Consumer Sentiment
Checks consumer expectations and perceived inflation
PCE (Personal Consumption Expenditures)
Total consumer spending including services; a broader scope
Frequently Asked Questions (FAQ)
Q. When is Retail Sales released each month?
A. Usually mid-month (around the 14th~17th), at 8:30 AM Eastern Time. In Korea time, that is 9:30 PM during Daylight Saving Time (Mar~Nov) and 10:30 PM in winter (Nov~Mar). The prior month's data is released in the middle of the following month — for example, March Retail Sales is released in mid-April. You can check the annual release schedule in advance on the Census Bureau website.
Q. Which should I watch more closely: Headline Retail Sales or the Control Group?
A. Both are important, but the number the market pays most attention to is the Control Group. The headline is the number in news titles and shapes first impressions, but it is swayed by volatile components like autos and gas stations. The Control Group strips out that noise and is used directly in GDP calculations. If the headline is strong but the Control Group is weak → actual consumption is weak. If the headline is weak but the Control Group is strong → it is being distorted by autos or oil prices; consumer spending itself is still healthy.
Q. What does it mean that Retail Sales is a nominal figure?
A. It means the dollar amounts are not adjusted for inflation. For example, if a cup of coffee cost $3 last year and $4 this year, drinking just one cup is recorded as a 33% increase in Retail Sales. To see whether real consumption actually increased, you need to subtract CPI (the inflation rate) from the Retail Sales growth rate to calculate the real Retail Sales growth rate. If Retail Sales is +3% and CPI is +3%, real consumption growth is effectively 0%.
Q. Does strong Retail Sales always push stocks higher?
A. No, it depends on the market environment. When slowdown concerns are high, strong Retail Sales often lifts stocks because it reassures the market that "consumption is healthy." But when inflation is the problem, strong Retail Sales can actually drag stocks lower because it raises fears that "consumer overheating will lead the Fed to tighten more." The same "strong Retail Sales" can be good or bad news depending on what the market is worried about right now. This dual interpretation is called "good news is bad news."
Q. Does Retail Sales include service spending?
A. Almost not. As the name suggests, Retail Sales measures "sales of goods at retail stores." The only services category is Food Services & Drinking Places. Spending on healthcare, travel, streaming subscriptions, education, gyms, and other services is excluded. Because services account for about 60% of U.S. consumption, to see the full picture of consumption you need to check the PCE (Personal Consumption Expenditures) report as well. PCE is a more comprehensive indicator that includes both goods and services.
Q. Why do revisions to the previous month matter?
A. The flash (Advance) number is released quickly at the expense of accuracy. When the revised number comes out a month later, the prior month's figure often changes substantially. For example, even if this month's Retail Sales looks disappointing at -0.2%, if the previous month is revised upward from +0.3% to +0.7%, then on a two-month combined basis it actually shows stronger consumption. The market knows this, so when revisions are large in either direction, the market reacts just as much as it does to the current month's number.